| Exploiting sink movement for energy-efficient load-balancing in wireless sensor networks |
| Full text |
Pdf
(1.25 MB)
|
Source
|
International Symposium on Mobile Ad Hoc Networking & Computing
archive
Proceeding of the 1st ACM international workshop on Foundations of wireless ad hoc and sensor networking and computing
table of contents
Hong Kong, Hong Kong, China
SESSION: Routing and data collection
table of contents
Pages 39-44
Year of Publication: 2008
ISBN:978-1-60558-149-1
|
|
Authors
|
|
Gaotao Shi
|
Tianjin University, Tianjin, China
|
|
Minghong Liao
|
Harbin Institute of Technology, Haerbin, China
|
|
Maode Ma
|
Nanyang Technological University, Singapore, Singapore
|
|
Yantai Shu
|
Tianjin University, Tianjin, China
|
|
| Sponsors |
|
| Publisher |
|
| Bibliometrics |
Downloads (6 Weeks): 17, Downloads (12 Months): 153, Citation Count: 0
|
|
|
ABSTRACT
Prolonging the lifetime is an important design consideration for battery powered wireless sensor networks. In a network with stationary sink, the sensor nodes located near the sink have to relay data from the rest of the network and thus deplete their energy very quickly. A sink mobility strategy was proposed in [1], which manages the sink to move along the periphery of the network for load-balancing. In this paper, based on the work in [1], we study the relationship of the energy efficiency and load-balancing. A novel mobility scheme for sink has been proposed to achieve the energy efficient load-balancing. By this scheme, the sink is controlled to move along a circle trajectory in a stationary for data buffering. All sensed data are forwarded into the annularity area firstly and then collected by the mobile sink. We find the optimum trajectory of sink movement with consideration of energy consumption and load-balancing and present how to find the location for the buffering area. Compared with the static sink scheme and the existing mobile sink scheme, the proposed is the most energy-efficient and it can reduce the load by 95% and 70%, respectively.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
J. Luo and J. P. Hubaux, Joint mobility and routing for lifetime elongation in wireless sensor networks, in Proceedings of the 24th IEEE INFOCOM, Mar 2005.
|
| |
2
|
R. C. Shah, S. Roy, S. Jain, and W. Brunette, Data MULEs: Modeling a three-tier architecture for sparse sensor networks, in Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, SNPA 2003, Anchorage, AK, May 11 2003, pp. 30--41.
|
 |
3
|
Aman Kansal , Arun A. Somasundara , David D. Jea , Mani B. Srivastava , Deborah Estrin, Intelligent fluid infrastructure for embedded networks, Proceedings of the 2nd international conference on Mobile systems, applications, and services, June 06-09, 2004, Boston, MA, USA
[doi> 10.1145/990064.990080]
|
| |
4
|
|
 |
5
|
|
| |
6
|
V. Mhatre, C. Rosenberg, Design guidelines for wireless sensor networks: communication, clustering and aggregation, Ad Hoc Networks, 2, 2004, 45--63.
|
| |
7
|
J. Lian, K. Naik and G. B. Agnew, Data capacity improvement of wireless sensor networks using non-uniform sensor distribution, Intern. Journal of Distr. Sensor Networks, 2005.
|
| |
8
|
W. Heinzelman, A. Chandrakashan and H. Balakrishnan, An application-specific protocol architecture for wireless microsensor networks, IEEE Transactions on Wireless Communications, 1(4), 2002, 660--670.
|
| |
9
|
S. Olariu and I. Stojmenovic, Design guidelines for maximizing lifetime and avoiding energy holes in sensor networks with uniform distribution and uniform reporting, IEEE INFOCOM '06, Barcelona, Spain, April 24-25, 2006
|
| |
10
|
X. B. Wu, G. Chen and Sajal K. Das. On the Energy Hole Problem of Nonuniform Node Distribution in Wireless Sensor Networks, the 3rd IEEE International Conference on Mobile Ad-hoc and Sensor Systems, 2006.
|
|